You're reading from Hands-On SQL Server 2019 Analysis Services Design and query tabular and multi-dimensional models using Microsoft's SQL Server Analysis Services

Product type Paperback

Published in Oct 2020

Publisher Packt

ISBN-13 9781800204768

Length 474 pages

Edition 1st Edition

Languages

SQL

Tools

SQL Server

Concepts

Data Analysis

Author (1):

Steven Hughes

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Table of Contents (19) Chapters

Preface

1. Section 1: Choosing Your Model

2. Chapter 1: Analysis Services in SQL Server 2019 FREE CHAPTER

3. Chapter 2: Choosing the SQL Server 2019 Analytic Model for Your BI Needs

4. Section 2: Building and Deploying a Multidimensional Model

5. Chapter 3: Preparing Your Data for Multidimensional Models

6. Chapter 4: Building a Multidimensional Cube in SSAS 2019

7. Chapter 5: Adding Measures and Calculations with MDX

8. Section 3: Building and Deploying Tabular Models

9. Chapter 6: Preparing Your Data for Tabular Models

10. Chapter 7: Building a Tabular Model in SSAS 2019

11. Chapter 8: Adding Measures and Calculations with DAX

12. Section 4: Exposing Insights while Visualizing Data from Your Models

13. Chapter 9: Exploring and Visualizing Your Data with Excel

14. Chapter 10: Creating Interactive Reports and Enhancing Your Models in Power BI

15. Section 5: Security, Administration, and Managing Your Models

16. Chapter 11: Securing Your SSAS Models

17. Chapter 12: Common Administration and Maintenance Tasks

18. Other Books You May Enjoy

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Scaling your models

There are two ways to scale in the database world – scale up or scale out – and they apply to Analysis Services models. Both options bring more compute, memory, and storage to support better performance or larger models.

Scaling up is a pure hardware play. This involves adding more resources to your environment such as RAM or CPUs. In this scenario, bigger is better. For example, you can choose to increase compute capacity by adding CPUs to a server, vCPUs to a virtual machine, and swapping in newer CPUs with more cores. In these situations, you typically leave the SSAS instance in place and it will consume the expanded resources. Scaling up has limits, as you would suspect. You can only scale so far.

The next option is to scale out. Relational databases in many cases do not natively support scale-out scenarios. However, SSAS scales out very well. Both tabular and multidimensional models are designed to scale out to support processing, model...